Classification in machine learning is a method used to categorize input data into predefined classes. It works by learning from a training set of data that is already labeled with correct outcomes.

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Once trained, the classification model can then be used to predict the class labels for new, unseen data. This technique is commonly used for tasks such as spam detection in emails, image recognition, and medical diagnosis.